Kinetic images of neuronal activity of the human brain based on the spatio-temporal MNLS inverse: A theoretical study

1995 ◽  
Vol 7 (3) ◽  
pp. 193-200 ◽  
Author(s):  
Jia -Zhu Wang ◽  
Samuel J. Williamson ◽  
Lloyd Kaufman
Keyword(s):  
Human Brain ◽  
Neuronal Activity ◽  
Theoretical Study ◽  
Spatio Temporal

scholarly journals STAB: a spatio-temporal cell atlas of the human brain

2020 ◽  
Vol 49 (D1) ◽  
pp. D1029-D1037
Author(s):  
Liting Song ◽  
Shaojun Pan ◽  
Zichao Zhang ◽  
Longhao Jia ◽  
Wei-Hua Chen ◽  
...  
Keyword(s):  
Human Brain ◽  
Single Cell ◽  
Temporal Dynamics ◽  
Cell Types ◽  
Brain Regions ◽  
Molecular Characteristics ◽  
Great Effort ◽  
Brain Functions ◽  
Spatio Temporal ◽  
The Brain

Abstract The human brain is the most complex organ consisting of billions of neuronal and non-neuronal cells that are organized into distinct anatomical and functional regions. Elucidating the cellular and transcriptome architecture underlying the brain is crucial for understanding brain functions and brain disorders. Thanks to the single-cell RNA sequencing technologies, it is becoming possible to dissect the cellular compositions of the brain. Although great effort has been made to explore the transcriptome architecture of the human brain, a comprehensive database with dynamic cellular compositions and molecular characteristics of the human brain during the lifespan is still not available. Here, we present STAB (a Spatio-Temporal cell Atlas of the human Brain), a database consists of single-cell transcriptomes across multiple brain regions and developmental periods. Right now, STAB contains single-cell gene expression profiling of 42 cell subtypes across 20 brain regions and 11 developmental periods. With STAB, the landscape of cell types and their regional heterogeneity and temporal dynamics across the human brain can be clearly seen, which can help to understand both the development of the normal human brain and the etiology of neuropsychiatric disorders. STAB is available at http://stab.comp-sysbio.org.

High-resolution spatio-temporal analysis of evoked and intrinsic neuronal activity by MEG/EEG imaging

NeuroImage ◽  
2009 ◽  
Vol 47 ◽  
pp. S101
Author(s):  
D Mantini ◽  
S Della Penna ◽  
L Marzetti ◽  
F De Pasquale ◽  
V Pizzella ◽  
...  
Keyword(s):  
High Resolution ◽  
Neuronal Activity ◽  
Temporal Analysis ◽  
Spatio Temporal

Spatio–temporal dynamics of olfactory processing in the human brain: an event-related source imaging study

Neuroscience ◽  
2010 ◽  
Vol 167 (3) ◽  
pp. 700-708 ◽  
Author(s):  
A.M. Lascano ◽  
T. Hummel ◽  
J.-S. Lacroix ◽  
B.N. Landis ◽  
C.M. Michel
Keyword(s):  
Human Brain ◽  
Temporal Dynamics ◽  
Imaging Study ◽  
Source Imaging ◽  
Olfactory Processing ◽  
Spatio Temporal

scholarly journals All-or-none visual categorization in the human brain

2019 ◽  
Author(s):  
Talia L. Retter ◽  
Fang Jiang ◽  
Michael A. Webster ◽  
Bruno Rossion
Keyword(s):  
Human Brain ◽  
Visual Presentation ◽  
Neural Responses ◽  
Behavioral Measures ◽  
Visual Categorization ◽  
Visual Events ◽  
Face Categorization ◽  
Wide Range ◽  
The Face ◽  
Spatio Temporal

AbstractWhether visual categorization, i.e., specific responses to a certain class of visual events across a wide range of exemplars, is graded or all-or-none in the human brain is largely unknown. We address this issue with an original frequency-sweep paradigm probing the evolution of responses between the minimum and optimal presentation times required to elicit both neural and behavioral face categorization responses. In a first experiment, widely variable natural images of nonface objects are progressively swept from 120 to 3 Hz (8.33 to 333 ms duration) in rapid serial visual presentation sequences; variable face exemplars appear every 1 s, enabling an implicit frequency-tagged face-categorization electroencephalographic (EEG) response at 1 Hz. In a second experiment, faces appear non-periodically throughout such sequences at fixed presentation rates, while participants explicitly categorize faces. Face-categorization activity emerges with stimulus durations as brief as 17 ms for both neural and behavioral measures (17 – 83 ms across individual participants neurally; 33 ms at the group level). The face-categorization response amplitude increases until 83 ms stimulus duration (12 Hz), implying graded categorization responses. However, a strong correlation with behavioral accuracy suggests instead that dilution from missed categorizations, rather than a decreased response to each face stimulus, may be responsible. This is supported in the second experiment by the absence of neural responses to behaviorally uncategorized faces, and equivalent amplitudes of isolated neural responses to only behaviorally categorized faces across presentation rates, consistent with the otherwise stable spatio-temporal signatures of face-categorization responses in both experiments. Overall, these observations provide original evidence that visual categorization of faces, while being widely variable across human observers, occurs in an all-or-none fashion in the human brain.

scholarly journals Realistic modeling of ephaptic fields in the human brain

2019 ◽  
Author(s):  
Giulio Ruffini ◽  
Ricardo Salvador ◽  
Ehsan Tadayon ◽  
Roser Sanchez-Todo ◽  
Alvaro Pascual-Leone ◽  
...  
Keyword(s):  
Human Brain ◽  
Electric Fields ◽  
Neuronal Activity ◽  
Direct Interaction ◽  
Pyramidal Cells ◽  
Brain Structures ◽  
Relative Orientation ◽  
Transcranial Brain Stimulation ◽  
Potential Perturbation ◽  
Human Function

AbstractSeveral decades of research suggest that weak electric fields may influence neural processing, including those induced by neuronal activity and recently proposed as substrate for a potential new cellular communication system, i.e., ephaptic transmission. Here we aim to map ephaptic activity in the human brain and explore its trajectory during aging by characterizing the macroscopic electric field generated by cortical dipoles using realistic finite element modeling. We find that modeled endogenous field magnitudes are comparable to those in measurements of weak but functionally relevant endogenous fields and to those generated by noninvasive transcranial brain stimulation, therefore possibly able to modulate neuronal activity. Then, to evaluate the role of self-generated ephaptic fields in the human cortex, we adapt an interaction approximation that considers the relative orientation of neuron and field to derive the membrane potential perturbation in pyramidal cells. Building on this, we define a simplified metric (EMOD1) that weights dipole coupling as a function of distance and relative orientation between emitter and receiver and evaluate it in a sample of 401 realistic human brain models from subjects aged 16-83. Results reveal that ephaptic modulation follows gyrification patterns in the human brain, and significantly decreases with age, with higher involvement of sensorimotor regions and medial brain structures. By providing the means for fast and direct interaction between neurons, ephaptic modulation likely contributes to the complexity of human function for cognition and behavior, and its modification across the lifespan and in response to pathology.

scholarly journals Spatio-Temporal Roles of ASD-Associated Variants in Human Brain Development

Genes ◽  
2020 ◽  
Vol 11 (5) ◽  
pp. 535
Author(s):  
Yujin Kim ◽  
Joon-Yong An
Keyword(s):  
Human Brain ◽  
Brain Development ◽  
De Novo ◽  
Autism Spectrum ◽  
Network Analyses ◽  
Regulatory Variants ◽  
Human Brain Development ◽  
Early Brain Development ◽  
Spatio Temporal

Transcriptional regulation of the genome arguably provides the basis for the anatomical elaboration and dynamic operation of the human brain. It logically follows that genetic variations affecting gene transcription contribute to mental health disorders, including autism spectrum disorder (ASD). A number of recent studies have shown the role of de novo variants (DNVs) in disrupting early neurodevelopment. However, there is limited knowledge concerning the role of inherited variants during the early brain development of ASD. In this study, we investigate the role of rare inherited variations in neurodevelopment. We conducted co-expression network analyses using an anatomically comprehensive atlas of the developing human brain and examined whether rare coding and regulatory variants, identified from our genetic screening of Australian families with ASD, work in different spatio-temporal functions.

Sign in / Sign up

Export Citation Format

Share Document